**Job Description**
This fully funded 3-year PhD position at the Technical University of Denmark (DTU) focuses on enhancing inter-subject Brain-Computer Interface (BCI)-assisted performance for exoskeleton control in stroke rehabilitation. The project involves developing a bioinspired, AI-driven BCI system for intuitive and adaptive control of wearable wrist-hand exoskeletons, integrating electroencephalogram (EEG) and potentially other modalities. It is a strategic research collaboration with the Korea Advanced Institute of Science and Technology (KAIST) and includes clinical collaboration with Rigshospitalet to translate research into practical rehabilitation solutions.
**Skills & Abilities**
• Strong programming skills in Python and MATLAB
• Background in biomedical signal processing, ML, and BCIs
• Interest in interdisciplinary and international research
**Qualifications**
Required Degree(s) in:
• A two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree
• Background in Biomedical Signal Processing
• Background in Machine Learning
• Background in Brain-Computer Interfaces
• Background in Neuroengineering
• Background in Robotics
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